Top Comics — Top Grossing apps in United Kingdom 🇬🇧
As of May 16, 2026, WEBTOON: Manga, Comics, Manhwa is the #1 Comics — Top Grossing app in United Kingdom on Android.
#App / PublisherCategoryIntel
- 1

- 2
Books - 32
Books - 4
Books - 52

- 6
Books - 7—
- 8
Books - 9
Books - 10—
- 11
Books - 12
Books - 132
Books - 14—
- 151—
- 163
Utilities - 17
Book - 18—
- 19—
- 20—
- 21—
- 22

- 23—
- 24—
- 251

- 261
- 27—
- 28
Books - 293
- 30—
- 31—
- 323—
- 33—
- 34—
- 35—
- 36
Magazines & Newspapers - 378—
- 384
Book - 399
Book - 401
Book - 412—
- 421
Book - 433—
- 443
Book - 4515—
- 469漫画 ”Renta”マンガ レンタル漫画アプリ
株式会社パピレス
— - 479Infinite Comics
無限漫畫
— - 484봄툰
㈜ 키다리스튜디오
— - 495—
- 5010

What changed
Movement between the previous day and May 16, 2026.
New entrants
- Mangacollec
#68
Risers
- Alpha Manga: Read Isekai Manga
#60 → #45
INKR — Comics, Manga, Webtoons#48 → #39
- Infinite Comics
#56 → #47
- Manga Buz
#45 → #37
- Comic maker - Arcstory
#54 → #49
Fallers
Bonelli Digital Classic#38 → #55
YACReader - Comic Reader#40 → #50
- 漫画 ”Renta”マンガ レンタル漫画アプリ
#37 → #46
- Comixit! - Comics For All Ages
#55 → #61
- 봄툰
#44 → #48
Methodology
Rankings are pulled daily from the Android store charts for United Kingdom. We snapshot the top entries each day and compute day-over-day change relative to the prior snapshot. See our full methodology for data sources, refresh cadences, and quality filters.
Frequently asked questions
What is the #1 Comics — Top Grossing app in United Kingdom on Android?
As of May 16, 2026, WEBTOON: Manga, Comics, Manhwa is the #1 Comics — Top Grossing app in United Kingdom on Android, based on the public Android chart rankings Marlvel tracks daily.
How often are these rankings updated?
Marlvel snapshots the Android charts for United Kingdom every day and computes day-over-day movement. The "Current" page always reflects the latest snapshot; dated archive pages preserve each day's top 50.
Where does Marlvel's ranking data come from?
Rankings are pulled from the public Android store charts for United Kingdom. See our methodology for data sources, refresh cadence, and the quality filters applied before a ranking is indexed.